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smoothmest: Smoothed M-Estimators for 1-Dimensional Location

Some M-estimators for 1-dimensional location (Bisquare, ML for the Cauchy distribution, and the estimators from application of the smoothing principle introduced in Hampel, Hennig and Ronchetti (2011) to the above, the Huber M-estimator, and the median, main function is smoothm), and Pitman estimator.

Version:0.1-3
Depends:R (≥ 2.0),MASS
Published:2022-04-27
DOI:10.32614/CRAN.package.smoothmest
Author:Christian Hennig
Maintainer:Christian Hennig <christian.hennig at unibo.it>
License:GPL-2 |GPL-3 [expanded from: GPL]
URL:https://www.unibo.it/sitoweb/christian.hennig/en
NeedsCompilation:no
In views:Distributions
CRAN checks:smoothmest results

Documentation:

Reference manual:smoothmest.html ,smoothmest.pdf

Downloads:

Package source: smoothmest_0.1-3.tar.gz
Windows binaries: r-devel:smoothmest_0.1-3.zip, r-release:smoothmest_0.1-3.zip, r-oldrel:smoothmest_0.1-3.zip
macOS binaries: r-release (arm64):smoothmest_0.1-3.tgz, r-oldrel (arm64):smoothmest_0.1-3.tgz, r-release (x86_64):smoothmest_0.1-3.tgz, r-oldrel (x86_64):smoothmest_0.1-3.tgz
Old sources: smoothmest archive

Reverse dependencies:

Reverse imports:mcb,PanCanVarSel,spdgp,wmwpow

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=smoothmestto link to this page.


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